Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

There are three common problems people face when working with AI: not understanding how AI made a decision (opacity), the ...

For two decades, a Georgia Tech professor has used simple data to track the best teams in college basketball and predict who will win the NCAA Tournament. Joel Sokol, director of the Master of Science ...

As microbiome sequencing throughput increases, laboratories face growing pressure to maintain reproducible results while managing hands-on time, workflow complexity and costs. Many labs need ...

OpenAI’s GPT-5.4 mini and nano models cut costs and latency while staying close to flagship performance, giving developers faster AI options for real-time apps without sacrificing core capabilities.